Evidence map›Paper›PMID 38638505›Full record

ArticleHealthcare technology letters

Intraoperative gaze guidance with mixed reality.

Ayberk Acar, Jumanh Atoum, Amy Reed, Yizhou Li, Nicholas Kavoussi, Jie Ying Wu

Abstract read
In one paragraph

Article in Healthcare technology letters. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. From Sight to Skill: A Surgeon-Centered Augmented Reality System for Ureteroscopy Training.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2026
    Article
  4. Review
  5. Review
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ayberk AcarDepartment of Computer Science Vanderbilt University Nashville Tennessee USA.ORCID https://orcid.org/0009-0002-0243-530X
Jumanh AtoumDepartment of Computer Science Vanderbilt University Nashville Tennessee USA.
Amy ReedDepartment of Urology Vanderbilt University Medical Center Nashville Tennessee USA.
Yizhou LiDepartment of Electrical Computer and Systems Engineering Case Western Reserve University Cleveland Ohio USA.
Nicholas KavoussiDepartment of Urology Vanderbilt University Medical Center Nashville Tennessee USA.
Jie Ying WuDepartment of Computer Science Vanderbilt University Nashville Tennessee USA.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Efficient communication and collaboration are essential in the operating room for successful and safe surgery. While many technologies are improving various aspects of surgery, communication between attending surgeons, residents, and surgical teams is still limited to verbal interactions that are prone to misunderstandings. Novel modes of communication can increase speed and accuracy, and transform operating rooms. A mixed reality (MR) based gaze sharing application on Microsoft HoloLens 2 headset that can help expert surgeons indicate specific regions, communicate with decreased verbal effort, and guide novices throughout an operation is presented. The utility of the application is tested with a user study of endoscopic kidney stone localization completed by urology experts and novice surgeons. Improvement is observed in the NASA task load index surveys (up to 25.23%), in the success rate of the task (6.98% increase in localized stone percentage), and in gaze analyses (up to 31.99%). The proposed application shows promise in both operating room applications and surgical training tasks.

Indexed as

augmented realitybiomedical communicationgaze tracking

Identifiers

PMID38638505
PMCPMC11022221

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.